The Resource Neuro-fuzzy control of industrial systems with actuator nonlinearities, F.L. Lewis, J. Campos, R. Selmic, (electronic resource)

Neuro-fuzzy control of industrial systems with actuator nonlinearities, F.L. Lewis, J. Campos, R. Selmic, (electronic resource)

Label
Neuro-fuzzy control of industrial systems with actuator nonlinearities
Title
Neuro-fuzzy control of industrial systems with actuator nonlinearities
Statement of responsibility
F.L. Lewis, J. Campos, R. Selmic
Creator
Contributor
Publisher
Subject
Language
eng
Summary
  • Neural networks and fuzzy systems are model free control design approaches that represent an advantage over classical control when dealing with complicated nonlinear actuator dynamics. Neuro-Fuzzy Control of Industrial Systems with Actuator Nonlinearities brings neural networks and fuzzy logic together with dynamical control systems. Each chapter presents powerful control approaches for the design of intelligent controllers to compensate for actuator nonlinearities such as time delay, friction, deadzone, and backlash that can be found in all industrial motion systems, plus a thorough development, rigorous stability proofs, and simulation examples for each design. In the final chapter, the authors develop a framework to implement intelligent control schemes on actual systems
  • Rigorous stability proofs are further verified by computer simulations, and appendices contain the computer code needed to build intelligent controllers for real-time applications. Neural networks capture the parallel processing and learning capabilities of biological nervous systems, and fuzzy logic captures the decision-making capabilities of human linguistics and cognitive systems
Member of
Cataloging source
CaBNvSL
http://library.link/vocab/creatorName
Lewis, Frank L
Illustrations
illustrations
Index
index present
LC call number
TJ217
LC item number
.L47 2002eb
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
  • Campos, J
  • Selmic, R
  • Society for Industrial and Applied Mathematics
Series statement
Frontiers in applied mathematics
Series volume
24
http://library.link/vocab/subjectName
  • Adaptive control systems
  • Fuzzy systems
  • Nonlinear theories
Target audience
adult
Label
Neuro-fuzzy control of industrial systems with actuator nonlinearities, F.L. Lewis, J. Campos, R. Selmic, (electronic resource)
Instantiates
Publication
Bibliography note
Includes bibliographical references (p. 233-240) and index
Color
black and white
Contents
Background on Neural Networks and Fuzzy Logic Systems -- Background on Dynamical Systems and Industrial Actuators -- Neurocontrol of Systems with Friction -- Neural and Fuzzy Control of Systems with Deadzones -- Neural Control of Systems with Backlash -- Fuzzy Logic Control of Vehicle Active Suspension -- Neurocontrol Using the Adaptive Critic Architecture -- Neurocontrol of Telerobotic Systems with Time Delays -- Implementation of Neural Network Control Systems -- Appendix A: C Code for Neural Network Friction Controller -- Appendix B: C Code for Continuous-Time Neural Network Deadzone Controller -- Appendix C: C Code for Discrete-Time Neural Network Backlash Controller -- Appendix D: Versatile Real-Time Executive Code for Implementation of Neural Network Backstepping Controller on ATB1000 Tank Gun Barrel
Dimensions
unknown
Extent
1 online resource (xiv, 244 p.)
File format
multiple file formats
Form of item
online
Isbn
9780898717563
Other control number
FR24
Other physical details
ill.
Reformatting quality
access
Specific material designation
remote
System control number
  • (CaBNvSL)slc00225434
  • (CaBNvSL)9780898717563
Label
Neuro-fuzzy control of industrial systems with actuator nonlinearities, F.L. Lewis, J. Campos, R. Selmic, (electronic resource)
Publication
Bibliography note
Includes bibliographical references (p. 233-240) and index
Color
black and white
Contents
Background on Neural Networks and Fuzzy Logic Systems -- Background on Dynamical Systems and Industrial Actuators -- Neurocontrol of Systems with Friction -- Neural and Fuzzy Control of Systems with Deadzones -- Neural Control of Systems with Backlash -- Fuzzy Logic Control of Vehicle Active Suspension -- Neurocontrol Using the Adaptive Critic Architecture -- Neurocontrol of Telerobotic Systems with Time Delays -- Implementation of Neural Network Control Systems -- Appendix A: C Code for Neural Network Friction Controller -- Appendix B: C Code for Continuous-Time Neural Network Deadzone Controller -- Appendix C: C Code for Discrete-Time Neural Network Backlash Controller -- Appendix D: Versatile Real-Time Executive Code for Implementation of Neural Network Backstepping Controller on ATB1000 Tank Gun Barrel
Dimensions
unknown
Extent
1 online resource (xiv, 244 p.)
File format
multiple file formats
Form of item
online
Isbn
9780898717563
Other control number
FR24
Other physical details
ill.
Reformatting quality
access
Specific material designation
remote
System control number
  • (CaBNvSL)slc00225434
  • (CaBNvSL)9780898717563

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